David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen 0004, Ricardo Henao, Lawrence Carin. Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. In Marzyeh Ghassemi, Tristan Naumann, Emma Pierson, editors, ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021. pages 14-24, ACM, 2021. [doi]
@inproceedings{DovASWXKBR0HC21,
title = {Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images},
author = {David Dov and Serge Assaad and Shijing Si and Rui Wang and Hongteng Xu and Shahar Ziv Kovalsky and Jonathan Bell and Danielle Elliott Range and Jonathan Cohen 0004 and Ricardo Henao and Lawrence Carin},
year = {2021},
doi = {10.1145/3450439.3451856},
url = {https://doi.org/10.1145/3450439.3451856},
researchr = {https://researchr.org/publication/DovASWXKBR0HC21},
cites = {0},
citedby = {0},
pages = {14-24},
booktitle = {ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021},
editor = {Marzyeh Ghassemi and Tristan Naumann and Emma Pierson},
publisher = {ACM},
isbn = {978-1-4503-8359-2},
}